Evidence map›Paper›PMID 39334509›Full record

ArticleJournal of cellular and molecular medicine2024

RNA methylation sequencing shows different gene expression signatures for response to azacytidine therapy in high-grade myelodysplastic syndromes.

Diana Gulei, Vlad Moisoiu, David Kegyes, Rares Drula, Sabina Iluta, Adrian Bogdan Tigu, Madalina Nistor, Ciprian Jitaru, Anamaria Bancos, Petra Rotariu and 13 more

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Diana GuleiMedfuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Vlad MoisoiuUniversity Hospital and University of Zurich, Zurich, Switzerland.
David KegyesMedfuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Rares DrulaDepartment of Experimental Therapeutics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Sabina IlutaMedfuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Adrian Bogdan TiguMedfuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Madalina NistorMedfuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Ciprian JitaruMedfuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Anamaria BancosMedfuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Petra RotariuDepartment of Hematology, Ion Chiricuta Clinical Cancer Center, Cluj Napoca, Romania.
Corina PopoviciDepartment of Hematology, Ion Chiricuta Clinical Cancer Center, Cluj Napoca, Romania.
Delia DimaDepartment of Hematology, Ion Chiricuta Clinical Cancer Center, Cluj Napoca, Romania.
Radu TomaiDepartment of Hematology, Ion Chiricuta Clinical Cancer Center, Cluj Napoca, Romania.
Ioana RusDepartment of Hematology, Ion Chiricuta Clinical Cancer Center, Cluj Napoca, Romania.
Catalin ConstantinescuMedfuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Raluca MunteanuMedfuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Diana CenariuMedfuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Ugur SezermanDepartment of Biostatistics and Medical Informatics, School of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.
Mihnea ZdrengheaUniversity Hospital and University of Zurich, Zurich, Switzerland.
Jaroslav CermakLaboratory of Anemias, Institute of Hematology and Blood Transfusion, Prague, Czech Republic.
Hermann EinseleMedfuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Gabriel GhiaurMedfuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.ORCID 0000-0002-3955-7944
Ciprian TomuleasaMedfuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.ORCID 0000-0001-5500-1519

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myelodysplastic syndromes (MDS) are myeloid malignancies with heterogeneous genotypes and phenotypes, characterized by ineffective haematopoiesis and a high risk of progression towards acute myeloid leukaemia (AML). Prognosis for patients treated with hypomethylating agents (HMAs), as is azacytidine, the main drug used as frontline therapy for MDS is mostly based on cytogenetics and next generation sequencing (NGS) of the initial myeloid clone. Although the critical influence of the epigenetic landscape upon cancer cells survival and development as well on tumour environment establishment is currently recognized and approached within current clinical practice in MDS, the heterogenous response of the patients to epigenetic therapy is suggesting a more complex mechanism of action, as is the case of RNA methylation. In this sense, the newly emerging field of epitranscriptomics could provide a more comprehensive perspective upon the modulation of gene expression in malignancies, as is the proof-of-concept of MDS. We initially did RNA methylation sequencing on MDS patients (n = 6) treated with azacytidine and compared responders with non-responders. Afterwards, the genes identified were assessed in vitro and afterwards validated on a larger cohort of MDS patients treated with azacytidine (n = 58). Our data show that a more accurate prognosis could be based on analysing the methylome and thus we used methylation sequencing to differentially split high-grade MDS patients with identical demographical and cytogenetic features, between azacytidine responders and non-responders.

Indexed as

AzacitidineDNA MethylationMyelodysplastic SyndromesAgedAged, 80 and overAntimetabolites, AntineoplasticEpigenesis, GeneticFemaleGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedPrognosisRNA MethylationSequence Analysis, RNAAntimetabolites, AntineoplasticAzacitidinemyelodysplastic syndromesprognosisRNA methylation sequencing

Identifiers

PMID39334509
PMCPMC11436316

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.